Risk Quant (London Area)

Risk Quant

Model Validation in Energy Trading Risk Management

England and Germany (remote)

12 month initial contract

£ per day DOE

One of our clients is looking for a contractor to join their energy trading risk management

The focus is on validating ML models used in energy trading risk. This includes:

• Reviewing model documentation and theoretical foundations
• Evaluating model implementation and input quality (automation, governance, data quality)
• Assessing testing frameworks
• Conducting benchmarking, back-testing, sensitivity analysis & stress testing
• Reviewing monitoring approaches
• Documenting validation outcomes

Must-Have Experience

• Model validation within an energy trading risk function
• Hands-on experience with machine learning models, (Gradient Boosting (GBM) and Random Forest (RF) are mandatory)
• Strong Python skills
• Solid understanding of credit risk in the context of energy/commodities markets
• At least 5 years\’ experience in modelling and model validation
• Deep knowledge of European energy markets and traded instruments
• Fluent in English (C1 level or above)